Chinese event trigger extraction is a challenging task. To tackle the difficulties of obtaining the semantic information of event arguments and extracting those context-poor event mentions in Chinese event trigger extraction, this paper proposes a semantics-driven joint model to integrate the components of Chinese event trigger extraction. First, considering the nature of Chinese language (e.g., flexible sentence structure and ellipsis), it provides a pattern-based method to identify core arguments and supplement arguments to better represent argument semantics, and applies the method to improve the performance of Chinese trigger extraction. Secondly, regarding the consistency among relevant event mentions in a document or discourse, it introduces the semantics among relevant event mentions to formulate a 2-dimensional joint model of Chinese trigger detection and type allocation to extract those context-poor event mentions. Finally, it provides experimental results on the ACE 2005 Chinese corpus to show that the presented model significantly outperforms the state-of-the-art system.